Staff Data Engineer

You are considered a leader on our Data engineering team, dealing with ambiguous problems with limited guidance. Your solutions are developed with the team's long term goals and overall architecture in perspective. By driving data engineering best practices, you set standards, coach and mentor data engineers and Analysts, help them along their career goals at Gemini. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

• Focused on technical decision making, leading work/projects that affects one or more complex systems and mission-critical areas
• Consistently delivers code that sets the standard for quality and maintainability.
• Writes highly insightful, comprehensive code reviews.
• Design, architect and implement best-in-class Data Warehousing and reporting solutions
• Lead and participate in design discussions and meetings
• Can successfully plan and execute projects involving multiple developers and complex requirements, prioritizing strategically
• Identifies, defines, and solves strategic problems, thinking holistically about the whole system.
• Mentor data engineers and analysts
• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
• Build real-time data and reporting solutions
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Research new tools and technologies to improve existing processes
• Develop new systems and tools to enable the teams to consume and understand data more intuitively
• Partner with engineers, project managers, and analysts to deliver insights to the business
• Perform root cause analysis and resolve production and data issues

Qualifications:

• 7+ years experience in data engineering with data warehouse technologies
• 7+ years experience in custom ETL design, implementation and maintenance
• 7+ years experience with schema design and dimensional data modeling
• Experience building real-time data solutions and processes
• Advanced skills with Python and SQL are a must
• Experience and expertise in Databricks, Spark, Hadoop etc.
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc)
• Strong computer science fundamentals including data structures and algorithms
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication skills

Preferred Qualifications:

• Kafka, HDFS, Hive, Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
• Deep knowledge of Apache Airflow
• Experience with Continuous integration and deployment
• Knowledge and experience of financial markets, banking or exchanges
• Web development skills with HTML, CSS, or JavaScript

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Competitive Compensation and Profit-Sharing Equity
• Flexible vacation policy
• Retirement Plan Matching
• Generous Parental leave
• Comprehensive health plans
• Training and professional development

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.

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